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AI Delivery Platform Administrator

Cognizant · Remote · San Jose

Job description

About the role

As an AI Delivery Platform Administrator, you will make an impact by ensuring the reliability, security, and effective adoption of an AI-powered delivery platform used to generate deal and delivery documents. You will be a valued member of the Delivery Acceleration Business Solutions team and work collaboratively with the Senior AI Delivery Acceleration Engineer, global delivery consultants, and cross-functional stakeholders.

In this role, you will:
Own platform operations, including configuration, maintenance, and release management to ensure reliability across global regions (AMS, EMEA, APAC+J)

Design and scale onboarding processes, enabling new teams and regions to effectively adopt AI-powered tools

Monitor system performance, triage issues, and coordinate with engineering and vendor teams to resolve platform incidents

Build and manage adoption dashboards, tracking platform usage, feature adoption, and enablement effectiveness

Lead user enablement initiatives, including coaching, community programs, and development of self-service resources

Work model

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered

3+ years of experience in SaaS platform administration, enterprise tools, IT service management, or similar roles

Technical proficiency with AI/LLM platforms, document automation tools, SSO/SCIM provisioning, and API integrations

Strong troubleshooting skills with the ability to coordinate across engineering, vendor, and business teams

Experience developing enablement materials such as user guides, training content, and documentation

Ability to communicate effectively across global teams and translate technical concepts for non-technical audiences

Data-driven mindset with experience measuring adoption and demonstrating business impact

Understanding of consulting or professional services environments and delivery lifecycle

These will help you stand out

ServiceNow platform experience or ServiceNow Certified System Administrator (CSA)

Familiarity with prompt engineering, generative AI tools, or LLM-based workflows

Knowledge of ITIL or IT service management frameworks

Experience with change management methodologies (e.g., Prosci, ADKAR)

Exposure to Agile/Scrum methodologies and release cycles

Experience managing vendor relationships and enterprise software environments

Salary and Other Compensation:
Applicants will be accepted till 07/15/2026

Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship.

  • Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

The annual salary for this position will be in the range of $114K - $128K depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

Medical/Dental/Vision/Life Insurance

Paid holidays plus Paid Time Off

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

We’re excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed—your transferable skills and unique experiences could make you a great fit.

ML/AI Work links you to the employer's original posting — always verify the details there before applying.

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